augment.oomlm: augment data with prediction, std error, and residuals

In blakeboswell/yotta: Out-of-memory and memory efficient Linear Model fitting with support for Inference

Description

augment data with prediction, std error, and residuals

Usage

## S3 method for class 'oomlm'
augment(x, data, std_error = FALSE,
  interval = "confidence", ...)

Arguments

x	oomlm model
data	tibble or other data source
std_error	calculate standard error of prediction
interval	interval type to return
...	ignored

See Also

augment(), stats::predict.lm()

blakeboswell/yotta documentation built on May 30, 2019, 11:43 a.m.